110 lines
4.3 KiB
Plaintext
110 lines
4.3 KiB
Plaintext
================================================================================
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TIMELINE JSON STRUCTURE ANALYSIS
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================================================================================
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File: /Users/azeem/repos/personal-tracker/data/Timeline.json
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Analysis Date: 2025-08-31 16:35:18
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ROOT LEVEL STRUCTURE:
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----------------------------------------
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semanticSegments: list with 43295 items
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rawSignals: list with 9549 items
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userLocationProfile: dict with 3 keys
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================================================================================
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DETAILED STRUCTURE:
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================================================================================
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(dict) - 3 keys:
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semanticSegments (list) - 43295 items:
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Sample item structure:
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semanticSegments[0] (dict) - 3 keys:
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startTime: str = 2013-12-31T22:00:00.000+00:00
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endTime: str = 2014-01-01T00:00:00.000+00:00
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semanticSegments[0].timelinePath (list) - 1 items:
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Sample item structure:
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semanticSegments[0].timelinePath[0] (dict) - 2 keys:
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point: str = 51.6659027°, -0.4058773°
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time: str = 2013-12-31T22:29:00.000+00:00
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... and 43294 more items
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rawSignals (list) - 9549 items:
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Sample item structure:
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rawSignals[0] (dict) - 1 keys:
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rawSignals[0].position (dict) - 6 keys:
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LatLng: str = 51.5151973°, -0.1312666°
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accuracyMeters: int = 100
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altitudeMeters: float = 86.30000305175781
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source: str = UNKNOWN
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timestamp: str = 2025-08-01T16:09:32.000+01:00
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speedMetersPerSecond: float = 0.0
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... and 9548 more items
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userLocationProfile (dict) - 3 keys:
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userLocationProfile.frequentPlaces (list) - 10 items:
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Sample item structure:
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userLocationProfile.frequentPlaces[0] (dict) - 3 keys:
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placeId: str = ChIJAAAAAAAAAAARjhi7lioZa2Y
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placeLocation: str = 51.6658192°, -0.4056977°
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label: str = HOME
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... and 9 more items
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userLocationProfile.frequentTrips (list) - 9 items:
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Sample item structure:
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userLocationProfile.frequentTrips[0] (dict) - 7 keys:
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userLocationProfile.frequentTrips[0].waypointIds (list) - 4 items:
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Sample item structure:
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... (max depth reached)
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... and 3 more items
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userLocationProfile.frequentTrips[0].modeDistribution (list) - 4 items:
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Sample item structure:
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... (max depth reached)
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... and 3 more items
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startTimeMinutes: int = 504
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endTimeMinutes: int = 551
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durationMinutes: int = 47
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confidence: float = 0.0
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commuteDirection: str = COMMUTE_DIRECTION_HOME_TO_WORK
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... and 8 more items
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userLocationProfile.persona (dict) - 1 keys:
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userLocationProfile.persona.travelModeAffinities (list) - 7 items:
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Sample item structure:
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userLocationProfile.persona.travelModeAffinities[0] (dict) - 2 keys:
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mode: str = WALKING
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affinity: float = 0.4837758243083954
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... and 6 more items
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================================================================================
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SEMANTIC SEGMENTS ANALYSIS:
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================================================================================
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Total semantic segments: 43295
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Segments with visits: 14890
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Segments with timeline paths: 13322
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SAMPLE VISIT STRUCTURE:
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----------------------------------------
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sample_visit (dict) - 5 keys:
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startTime: str = 2013-12-31T22:29:21.000+00:00
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endTime: str = 2014-01-01T17:10:30.000+00:00
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startTimeTimezoneUtcOffsetMinutes: int = 0
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endTimeTimezoneUtcOffsetMinutes: int = 0
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sample_visit.visit (dict) - 3 keys:
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hierarchyLevel: int = 0
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probability: float = 0.6399999856948853
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sample_visit.visit.topCandidate (dict) - 4 keys:
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placeId: str = ChIJyaJWtZVqdkgRZHVIi0HKLto
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semanticType: str = HOME
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probability: float = 0.9986714720726013
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sample_visit.visit.topCandidate.placeLocation (dict) - 1 keys:
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latLng: str = 51.6659399°, -0.4059464°
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SAMPLE TIMELINE PATH STRUCTURE:
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----------------------------------------
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sample_timelinePath (dict) - 3 keys:
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startTime: str = 2013-12-31T22:00:00.000+00:00
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endTime: str = 2014-01-01T00:00:00.000+00:00
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sample_timelinePath.timelinePath (list) - 1 items:
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Sample item structure:
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sample_timelinePath.timelinePath[0] (dict) - 2 keys:
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point: str = 51.6659027°, -0.4058773°
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time: str = 2013-12-31T22:29:00.000+00:00
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